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Current video models struggle to infer unseen spatial states and causal relationships, falling far short of human-level spatial reasoning.
A Transformer-based ranking model can boost e-commerce orders by 6.35% while halving latency, thanks to optimizations targeting feature sparsity and low label density.
Stop struggling with inconsistent benchmarks for mass spec prediction: FlexMS offers a flexible framework to build and evaluate diverse deep learning architectures, revealing key factors that drive performance.
By focusing Mamba's attention on foreground voxels, Fore-Mamba3D achieves superior 3D object detection performance, overcoming limitations of previous Mamba-based methods that process the entire voxel sequence.
